Diagnosis of prosthetic joint infection based on Cas12a-catalytic aggregation mediated by supramolecular chemistry

IF 10.5 1区 生物学 Q1 BIOPHYSICS
Yining Zhao , Ziye Liu , Ziting Liu , Juan Zhang , Jinghui Peng , Genxi Li
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Abstract

Prosthetic joint infection (PJI), which is still difficult to be diagnosing, is caused by bacterial infection. Rapid detection for trace amounts of bacteria should be a solution; however, the existing assays cannot serve for PJI diagnosis due to the inherent limitations. Herein, a strategy based on supramolecular chemistry mediated Cas12a catalytic aggregation (CCA) is explored in this work for ultrasensitive detection of universal bacteria. In the design, supramolecular chemistry is introduced to impede the cis-cleavage of activated Cas12a, resulting in its aggregation in the surrounding of bacteria with the linkage of CCA probe. Since Cas12a aggregation owns excellently enhanced catalytic efficiency, the CCA-based strategy can be used for bacterial analysis with a limit of detection as low as 1 CFU/mL. With high sensitivity, reproducibility, generalizability, and stability, the CCA-based strategy can be applied for the detection of clinical effusion samples. The remarkable performance of CCA-based strategy has also demonstrated its robust potential to be a simple, rapid, and highly sensitive bacteria diagnostic tool, paving the way for prompt diagnosis and management of PJI.
基于超分子化学介导的cas12a催化聚集诊断假体关节感染
假体关节感染(PJI)是由细菌感染引起的,目前仍难以诊断。快速检测微量细菌应该是一种解决方案;然而,由于固有的局限性,现有的检测方法不能用于PJI的诊断。本文探讨了一种基于超分子化学介导的Cas12a催化聚集(CCA)的通用细菌超灵敏检测策略。在设计中,引入超分子化学来阻止活化的Cas12a顺式裂解,使其通过CCA探针的链接聚集在细菌周围。由于Cas12a聚集具有极好的增强催化效率,基于cca的策略可用于细菌分析,检测限低至1 CFU/mL。该方法具有较高的灵敏度、重复性、通用性和稳定性,可用于临床积液样品的检测。基于cca的策略的显著表现也表明了其作为一种简单、快速、高灵敏度的细菌诊断工具的强大潜力,为PJI的及时诊断和管理铺平了道路。
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来源期刊
Biosensors and Bioelectronics
Biosensors and Bioelectronics 工程技术-电化学
CiteScore
20.80
自引率
7.10%
发文量
1006
审稿时长
29 days
期刊介绍: Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.
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